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Cloud Data Management

by Sherif Sakr Athman Bouguettaya Liang Zhao Anna Liu

In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost. Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications.

Cloud Data Design, Orchestration, and Management Using Microsoft Azure: Master and Design a Solution Leveraging the Azure Data Platform

by Roberto Freato Francesco Diaz

Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives.This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities.What You'll LearnKnow the Azure services useful to implement a data solutionMatch the products/services used to your specific needsFit relational databases efficiently into data designUnderstand how to work with any type of data using Azure hybrid and public cloud featuresUse non-relational alternatives to solve even complex requirementsOrchestrate data movement using Azure servicesApproach analysis and manipulation according to the data life cycleWho This Book Is ForSoftware developers and professionals with a good data design background and basic development skills who want to learn how to implement a solution using Azure data services

Cloud Connectivity and Embedded Sensory Systems

by Hendrik Spaanenburg Lambert Spaanenburg

Sensor networks are meant to create awareness in space and time. They may be measuring the presence of an object or a condition, characterizing an object stream or a situational pattern, or even detect abnormalities that are to occur. This book provides new theory on the design of wireless sensor networks, based on concepts developed for large-scale, distributed computing environments known as "cloud computing." It provides a single-source entry into the world of intelligent sensory networks, with a step-by-step discussion of building case studies that capture the requirements, taking into account practical limitations of creating ambient intelligence. The reader will not only achieve a better understanding of sensory clouds, swarms and flocks but is also guided by examples of how to design such networks taking the typical characteristics of diverse application areas into account.

Cloud Computing with the Windows Azure Platform

by Roger Jennings

Leverage the power of the Azure Services Platform for cloud computingWith the Azure Services Platform, processing and storing data moves from individual corporate servers and Web sites to larger, more reliable, and more secure data centers. Roger Jennings, author of more than 30 books on Microsoft technologies, shows you how to leverage the power of Azure and its related services for cloud computing.The book begins with a look at the differences between cloud computing and application hosting and examines the various issues that .NET developers and IT managers face in moving from on-premise to cloud-based applications, including security, privacy, regulatory compliance, backup and recovery, asset cataloging, and other common technical issues. The author then drills down, showing basic programming for individual Azure components, including storage, SQL Data Services, and .NET Services. He then moves on to cover more advanced programming challenges.Explains the benefits of using the Azure Services Platform for cloud computingShows how to program with Windows Azure components, including Azure Table and Blob storage, .NET Services and SQL AzureAddresses advanced programming challenges of creating useful projects that combine cloud storage with Web applications or servicesCompanion Web site features complete, finished applications that can be uploaded to jump start a Windows Azure projectRoger Jennings clears away the clouds and gets you started using the Azure Services Platform.

Cloud Computing with Security: Concepts and Practices

by Naresh Kumar Sehgal Pramod Chandra Bhatt John M. Acken

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This second edition includes new material on Cloud Computing Security, Threat Vectors and Trust Models, as well as best practices for a using dynamic cloud infrastructure, and cloud operations management. Several new examples and analysis of cloud security have been added, including edge computing with IoT devices.

Cloud Computing with e-Science Applications

by Olivier Terzo Lorenzo Mossucca

The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then: Discusses the challenges imposed by big data on scientific data infrastructures, including security and trust issues Covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack Describes the implementation of workflows in clouds, proposing an architecture composed of two layers—platform and application Details infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models Demonstrates how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling Featuring significant contributions from research centers, universities, and industries worldwide, Cloud Computing with e-Science Applications presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. The book provides the scientific community with an essential reference for moving applications to the cloud.

Cloud Computing Using Oracle Application Express

by Riaz Ahmed

Develop cloud-based applications rapidly using the Oracle Application Express (APEX) platform. You will learn to develop a comprehensive functional business application which can be deployed in your organization. Cloud Computing Using Oracle Application Express will teach you how to develop a complete general ledger accounting system which will be accessible through a variety of devices, including desktops, laptops, and the latest smartphones. What You Will Learn: Use new Oracle APEX 5. 0 techniques Develop a complete general ledger accounting system named The Cloud Accountant Develop cloud-based business apps accessible anywhere and anytime Enhance your APEX development skills Who This Book Is For: Web developers who possess some working knowledge of Oracle Application Express, and developers who have been using Oracle Forms and now wish to use their existing SQL and PL/SQL expertise.

Cloud Computing Using Oracle Application Express: Develop Internet-Facing Business Applications Accessible Anywhere and Anytime

by Riaz Ahmed

Get the domain knowledge you need to develop real-world business apps for and in the cloud. You’ll see how Oracle APEX has made the life of web developers much easier and how it helps you create web-based data-centric applications easily and instantly without writing screeds of code.In Cloud Computing Using Oracle Application Express, you will develop a complete general ledger accounting system named the Cloud Accountant which will be accessible through a variety of devices including desktops, laptops, and the latest smartphones. This new edition also incorporates the new application page creation process, which differs from the previous version. You’ll cover other new areas, such as the updated UI elements and properties, and the interactive grid. Besides the development of a full application that you can deploy in your organization, the book teaches many new techniques to further enhance your APEX development skills.What You Will LearnDiscover new development techniques for APEX developersDevelop cloud-based ERP applicationsBuild a cloud-based application on Oracle APEXIntegrate the free JasperReports server and report designing tool with Oracle APEXWho This Book Is ForWeb developers who possess some working knowledge of Oracle Application Express, and developers who have been using Oracle Forms and now wish to use their existing SQL and PL/SQL expertise.

Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications: 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #322)

by Wei Xiang Guanfeng Liu Meikang Qiu Tao Huang Xuyun Zhang

This book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and telecommunications, broadly understood as the renewable generation and distributed energy resources integration, computational intelligence applications, information and communication technologies.

Cloud Computing, Security, Privacy in New Computing Environments: 7th International Conference, CloudComp 2016, and First International Conference, SPNCE 2016, Guangzhou, China, November 25–26, and December 15–16, 2016, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #197)

by Jin Li Yang Xiang Jiafu Wan Kai Lin Delu Zeng Xiaofeng Liao Jiwu Huang Zheli Liu

This book constitutes the refereed proceedings of the 7th International Conference on Cloud Computing, Security, Privacy in New Computing Environments, CloudComp 2016, and the First EAI International Conference SPNCE 2016, both held in Guangzhou, China, in November and December 2016. The proceedings contain 10 full papers selected from 27 submissions and presented at CloudComp 2016 and 12 full papers selected from 69 submissions and presented at SPNCE 2016. CloudComp 2016 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. SPNCE 2016 focuses on security and privacy aspects of new computing environments including mobile computing, big data, cloud computing and other large-scale environments.

Cloud Computing Security: Foundations and Challenges

by John Vacca

This handbook offers a comprehensive overview of cloud computing security technology and implementation, while exploring practical solutions to a wide range of cloud computing security issues. With more organizations using cloud computing and cloud providers for data operations, proper security in these and other potentially vulnerable areas have become a priority for organizations of all sizes across the globe. Research efforts from both academia and industry in all security aspects related to cloud computing are gathered within one reference guide.

Cloud Computing in Remote Sensing

by Lizhe Wang Yan Ma Jining Yan

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis

Cloud Computing in Financial Services

by Bernardo Nicoletti

Financial institutions must become more innovative in the conduct of their business. Cloud computing helps to achieve several objectives: innovative services, re-engineered processes, business agility and value optimization. Research, consultancy practice and case studies in this book consider the opportunities and risks with vendor relationships.

Cloud Computing for Science and Engineering (Scientific and Engineering Computation)

by Ian Foster Dennis B. Gannon

A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples.The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security.The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.

Cloud Computing for Optimization: Foundations, Applications, and Challenges (Studies in Big Data #39)

by Bhabani Shankar Prasad Mishra Satchidananda Dehuri Alok Kumar Jagadev Himansu Das

This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.

Cloud Computing for Machine Learning and Cognitive Applications

by Kai Hwang

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science.Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

Cloud Computing for Lawyers

by Nicole Black Richard Susskind

As more businesses move their IT systems into the cloud, lawyers need to ask if cloud computing is right for their firm. Cloud Computing for Lawyers features a discussion of cloud computing fundamentals, an overview of legal cloud computing products, and step-by-step instructions for implementing cloud computing in your practice--including practical tips for securing your data.

Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog And Mist Computing (Studies in Big Data #49)

by Himansu Das Rabindra K. Barik Harishchandra Dubey Diptendu Sinha Roy

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Cloud Computing for Enterprise Architectures (Computer Communications and Networks)

by Zaigham Mahmood Richard Hill

This important text provides a single point of reference for state-of-the-art cloud computing design and implementation techniques. The book examines cloud computing from the perspective of enterprise architecture, asking the question; how do we realize new business potential with our existing enterprises? Topics and features: with a Foreword by Thomas Erl; contains contributions from an international selection of preeminent experts; presents the state-of-the-art in enterprise architecture approaches with respect to cloud computing models, frameworks, technologies, and applications; discusses potential research directions, and technologies to facilitate the realization of emerging business models through enterprise architecture approaches; provides relevant theoretical frameworks, and the latest empirical research findings.

Cloud Computing for Engineering Applications

by Benito A. Stradi-Granados

This book explains the use of cloud computing systems for engineering applications to satisfy the need for enterprise level, state-of-the-art computational capacities at an affordable cost. As huge costs are involved in the maintenance and timely renovation of computational capabilities, particularly for projects that require significant computational capacity, cloud services can achieve considerable savings for users and organizations engaged in engineering research and development. Dr. Stradi-Granados explains how to extract a maximum value from every dollar invested in cloud computer server. The types of facilities located around the world that lease their resources to customers interested in reducing the internal overhead and implementation time. The volume features chapters on model generation, motion studies, and prototyping is ideal for students, researchers, practitioners, and facility's managers across a range of engineering domains.

Cloud Computing For Dummies

by Judith S. Hurwitz Daniel Kirsch

Choose the best cloud solutions for your needs Cloud computing is a topic that technology pros need to know to stay ahead of the computing game. Cloud Computing For Dummies comes to the rescue of those still trying to sort out the many options in the world of cloud. Judith Hurwitz and her team of analysts share the cloud insights they earned by consulting with some of the world's largest companies. Peek inside to sort out topics like multi-cloud architecture, hybrid-cloud infrastructure, development in the cloud, and software as a service. Understand how the cloud can improve your business Explore cloud models including hybrid and multi-cloud environments See how infrastructure and software can be delivered as a service Discover best practices This edition is written for IT professionals, decision makers, and others who need general knowledge about cloud computing, how it works, and what options they have.

Cloud Computing For Dummies

by Marcia Kaufman Robin Bloor Judith Hurwitz Dr Fern Halper

The easy way to understand and implement cloud computing technology written by a team of experts Cloud computing can be difficult to understand at first, but the cost-saving possibilities are great and many companies are getting on board. If you've been put in charge of implementing cloud computing, this straightforward, plain-English guide clears up the confusion and helps you get your plan in place. You'll learn how cloud computing enables you to run a more green IT infrastructure, and access technology-enabled services from the Internet ("in the cloud") without having to understand, manage, or invest in the technology infrastructure that supports them. You'll also find out what you need to consider when implementing a plan, how to handle security issues, and more. Cloud computing is a way for businesses to take advantage of storage and virtual services through the Internet, saving money on infrastructure and support This book provides a clear definition of cloud computing from the utility computing standpoint and also addresses security concerns Offers practical guidance on delivering and managing cloud computing services effectively and efficiently Presents a proactive and pragmatic approach to implementing cloud computing in any organization Helps IT managers and staff understand the benefits and challenges of cloud computing, how to select a service, and what's involved in getting it up and running Highly experienced author team consults and gives presentations on emerging technologies Cloud Computing For Dummies gets straight to the point, providing the practical information you need to know.

Cloud Computing for Data-Intensive Applications

by Xiaolin Li Judy Qiu

This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies. Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference.

Cloud Computing Bible

by Barrie Sosinsky

The complete reference guide to the hot technology of cloud computingIts potential for lowering IT costs makes cloud computing a major force for both IT vendors and users; it is expected to gain momentum rapidly with the launch of Office Web Apps later this year. Because cloud computing involves various technologies, protocols, platforms, and infrastructure elements, this comprehensive reference is just what you need if you?ll be using or implementing cloud computing.Cloud computing offers significant cost savings by eliminating upfront expenses for hardware and software; its growing popularity is expected to skyrocket when Microsoft introduces Office Web AppsThis comprehensive guide helps define what cloud computing is and thoroughly explores the technologies, protocols, platforms and infrastructure that make it so desirableCovers mobile cloud computing, a significant area due to ever-increasing cell phone and smartphone useFocuses on the platforms and technologies essential to cloud computingAnyone involved with planning, implementing, using, or maintaining a cloud computing project will rely on the information in Cloud Computing Bible.

Cloud Computing Basics (SpringerBriefs in Electrical and Computer Engineering)

by S. Srinivasan

Cloud Computing Basics covers the main aspects of this fast moving technology so that both practitioners and students will be able to understand cloud computing. The author highlights the key aspects of this technology that a potential user might want to investigate before deciding to adopt this service. This book explains how cloud services can be used to augment existing services such as storage, backup and recovery. Addressing the details on how cloud security works and what the users must be prepared for when they move their data to the cloud. Also this book discusses how businesses could prepare for compliance with the laws as well as industry standards such as the Payment Card Industry.

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Showing 28,951 through 28,975 of 34,561 results